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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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students are supervised by a supervisory panel consisting of a panel chair, a professor from the natural sciences and a professor from information/computer/mathematical science. The DASHH graduate curriculum
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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nationality from biological sciences, chemistry, mathematics, computer sciences and physics. Be part of CiM-IMPRS, a program run jointly by the University of Münster and the Max Planck Institute for Molecular
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Oceanography, Meteorology, Physics, Mathematics or a related field is required. We also expect very good English language skills, good programming skills and the ability to work in a team. Preferable would be a
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of Dynamics and Self-Organization (MPI-DS) Max Planck Institute of Solar System Research (MPS) Leibniz Institute German Primate Center (DPZ) German Aerospace Center (DLR) Fraunhofer Institute for Translational
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knowledge of energy system modelling or climate modelling Good knowledge of deep learning, PDEs or mathematical/numerical optimization methods Enthusiasm for challenging problems and interdisciplinary
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 1 month ago
studentship in Population, Health and Data Science. The PhD studentship is funded by the University of St Andrews and the Max Planck Institute for Demographic Research (MPIDR). The PhD student will be working
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Computation is a cooperation between Freie Universität Berlin (departments of Mathematics and Computer Science as well as Biology, Chemistry and Pharmacy) and the Max Planck Institute for Molecular Genetics
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Your Job: Maintain, and update quantitative methods for assessing economic impacts of the energy transition at the national and regional levels Develop dynamic and multisectoral economic models